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CrowdStrike

Senior Data Scientist – Hybrid

CrowdStrike

Senior Data Scientist designing and deploying advanced AI systems that analyze security events at CrowdStrike. Leading technical strategy and collaborating across teams to define AI-driven capabilities.

Posted 6/11/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $140,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityDistributed SystemsGoPythonSQL

About the role

Key responsibilities & impact
  • Lead the architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems operating at enterprise scale
  • Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows
  • Define the future direction of AI-driven reasoning, ranking and investigation capabilities across the platform
  • Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement
  • Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams
  • Drive foundational investments and technical direction across AI platforms, retrieval infrastructure, model-serving systems, and ML tooling
  • Balance model quality, customer experience, latency, scalability, reliability, security, and infrastructure cost when making architectural decisions
  • Define evaluation methodologies, experimentation strategies, and success metrics to assess product, model, and business impact
  • Partner closely with Product, Engineering, Security, Infrastructure, and Operations teams to identify high-value opportunities and deliver scalable AI solutions
  • Communicate technical trade-offs, recommendations, and results clearly to both technical and executive audiences
  • Lead highly ambiguous, multi-quarter initiatives spanning Product, Engineering, Data Science, and other stakeholders
  • Influence organization-wide technical strategy, investment priorities, and long-term AI roadmap decisions
  • Represent the organization in executive reviews and drive alignment on major technical and product initiatives
  • Mentor junior scientists while fostering a culture of technical excellence and innovation

Requirements

What you’ll need
  • 8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in the cybersecurity space
  • MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or a related quantitative discipline
  • Deep expertise in semantic retrieval, vector search, ranking systems, recommendation systems, NLP/LLMs, RAG architectures, and agentic AI systems
  • Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence
  • Experience operating large-scale production systems with demanding latency, scalability, reliability, and cost requirements
  • Proven track record of delivering measurable business impact through AI and machine learning innovation
  • Experience leading cross-functional initiatives across multiple organizations and stakeholder groups
  • Ability to influence executive stakeholders and drive strategic technical decisions across large organizations
  • Exceptional communication, leadership, strategic thinking, and mentoring skills
  • Strong programming skills in Go, Python, SQL, and modern machine learning ecosystems
  • Experience designing and deploying end-to-end ML solutions, including data acquisition, feature engineering, model development, evaluation, deployment, and monitoring
  • Strong knowledge of experimentation frameworks, online evaluation, A/B testing, causal inference, and model validation methodologies
  • Proficiency in Anomaly Detection, MITRE entities, Detection Engineering,Triage and Investigation
  • Experience with modern AI infrastructure, large-scale data processing, distributed systems, and production ML platforms
  • Ability to communicate data-driven insights, uncertainty, assumptions, and trade-offs to technical and non-technical audiences.

Benefits

Comp & perks
  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI/ML architecturesemantic retrievalvector searchranking systemsrecommendation systemsNLPRAG architecturesGoPythonSQL
Soft Skills
communicationleadershipstrategic thinkingmentoringinfluencecollaborationinnovationproblem-solvingtechnical trade-offsevaluation methodologies
Certifications
MSPhD